From Human Demonstrations to Robotic Actions: Real2Sim Verification of a Diffusion Policy for Autonomous Robotic Manipulation
The Universal Manipulation Interface (UMI), originally developed by the Robotics and Embodied AI Lab at Stanford University, has demonstrated remarkable effectiveness for training manipulation policies for terrestrial robotic manipulators using imitation and diffusion based learning techniques. The long term objective...